activity
20182023
most citedMulti-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

19 citations · 46 across the 10 of their papers we have counts for

collaborators

10 papers

physics.atom-ph2023

Generation of cold polyatomic cations by cascade reactive two-body ion-atom collisions

Wei-Chen Liang, Feng-Dong Jia, Fei Wang +8

Polyatomic cations Rb ( = 2, 3,) have been produced by cascade two-body ion-atom reactive collisions in the two-step CW-laser photoionization of laser-coole…

cs.LG2022

Differentially Private Federated Learning with Local Regularization and Sparsification

Anda Cheng, Peisong Wang, Xi Sheryl Zhang +1

User-level differential privacy (DP) provides certifiable privacy guarantees to the information that is specific to any user's data in federated learning. Existing methods that ens…

cs.CV2021★ 2 cited

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao +2

Federated learning frameworks typically require collaborators to share their local gradient updates of a common model instead of sharing training data to preserve privacy. However,…

cs.CV2021★ 2 cited

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices

Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu +4

For practical deep neural network design on mobile devices, it is essential to consider the constraints incurred by the computational resources and the inference latency in various…

cs.LG2021★ 3 cited

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy

Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang +3

Training deep neural networks (DNNs) for meaningful differential privacy (DP) guarantees severely degrades model utility. In this paper, we demonstrate that the architecture of DNN…

cs.LG2019★ 8 cited

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

Xi Sheryl Zhang, Fengyi Tang, Hiroko Dodge +2

In recent years, increasingly augmentation of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportuni…

cs.LG2019★ 5 cited

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang +10

Acute Kidney Injury (AKI) is a common clinical syndrome characterized by the rapid loss of kidney excretory function, which aggravates the clinical severity of other diseases in a…

cs.LG2018★ 6 cited

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network

Xi Sheryl Zhang, Jingyuan Chou, Fei Wang

With the arrival of the big data era, more and more data are becoming readily available in various real-world applications and those data are usually highly heterogeneous. Taking c…

cs.LG2018★ 1 cited

A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations

Xi Sheryl Zhang, Dandi Chen, Yongjun Zhu +5

This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations. The machine learnin…

cs.CV2018★ 19 cited

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

Xi Sheryl Zhang, Lifang He, Kun Chen +3

Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens of millions of Americans. PD is highly progressive and heterogeneous. Quite a few…